from sklearn.model_selection import train_test_split
from sklearn.datasets import make_moons
X,y = make_moons(n_samples= 500,noise= 0.30 ,random_state= 42)
from sklearn.ensemble import BaggingClassifier
from sklearn.tree import DecisionTreeClassifier
bag_clf = BaggingClassifier(DecisionTreeClassifier(),
n_estimators= 500,
max_samples= 100,
bootstrap= True,
n_jobs = -1,
random_state=42)
bag_clf.fit(X_train,y_train)
y_pred = bag_clf.predict(X_test)
检查X_train,y_train的数据是不是符合要求